CDAX Index's market value is the price at which a share of CDAX Index trades on a public exchange. It measures the collective expectations of CDAX Index investors about its performance. CDAX Index is listed for 1730.25 as of the 9th of January 2025. This is a 0.21% down since the beginning of the trading day. The index's open price was 1733.85. With this module, you can estimate the performance of a buy and hold strategy of CDAX Index and determine expected loss or profit from investing in CDAX Index over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in interest.
Symbol
CDAX
CDAX Index 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to CDAX Index's index what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of CDAX Index.
0.00
11/16/2023
No Change 0.00
0.0
In 1 year 1 month and 24 days
01/09/2025
0.00
If you would invest 0.00 in CDAX Index on November 16, 2023 and sell it all today you would earn a total of 0.00 from holding CDAX Index or generate 0.0% return on investment in CDAX Index over 420 days.
CDAX Index Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure CDAX Index's index current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess CDAX Index upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for CDAX Index's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CDAX Index's standard deviation. In reality, there are many statistical measures that can use CDAX Index historical prices to predict the future CDAX Index's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of CDAX Index's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
CDAX Index Backtested Returns
CDAX Index retains Efficiency (Sharpe Ratio) of 0.0746, which signifies that the index had a 0.0746% return per unit of risk over the last 3 months. We have found twenty-five technical indicators for CDAX Index, which you can use to evaluate the volatility of the entity. The index owns a Beta (Systematic Risk) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and CDAX Index are completely uncorrelated.
Auto-correlation
0.91
Excellent predictability
CDAX Index has excellent predictability. Overlapping area represents the amount of predictability between CDAX Index time series from 16th of November 2023 to 13th of June 2024 and 13th of June 2024 to 9th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CDAX Index price movement. The serial correlation of 0.91 indicates that approximately 91.0% of current CDAX Index price fluctuation can be explain by its past prices.
Correlation Coefficient
0.91
Spearman Rank Test
0.86
Residual Average
0.0
Price Variance
3328.64
CDAX Index lagged returns against current returns
Autocorrelation, which is CDAX Index index's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting CDAX Index's index expected returns. We can calculate the autocorrelation of CDAX Index returns to help us make a trade decision. For example, suppose you find that CDAX Index has exhibited high autocorrelation historically, and you observe that the index is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values
Timeline
CDAX Index regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If CDAX Index index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CDAX Index index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CDAX Index index over time.
Current vs Lagged Prices
Timeline
CDAX Index Lagged Returns
When evaluating CDAX Index's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CDAX Index index have on its future price. CDAX Index autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, CDAX Index autocorrelation shows the relationship between CDAX Index index current value and its past values and can show if there is a momentum factor associated with investing in CDAX Index.
Regressed Prices
Timeline
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